A cyber forensics evidence tracking platform

The purpose of this project is to address the issue of tracking digital evidence that is uploaded to the system. It was raised by BAML (Bank of America Merrill Lynch)’s security department. Thus, the aim is to develop a platform to provide the forensic analyst to store and track evidence files when...

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Main Author: Tan, Wee Seng
Other Authors: Lam Kwok Yan
Format: Final Year Project
Language:English
Published: 2019
Subjects:
Online Access:http://hdl.handle.net/10356/76947
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Institution: Nanyang Technological University
Language: English
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spelling sg-ntu-dr.10356-769472023-03-03T20:31:21Z A cyber forensics evidence tracking platform Tan, Wee Seng Lam Kwok Yan School of Computer Science and Engineering Bank of America Merrill Lynch DRNTU::Engineering::Computer science and engineering The purpose of this project is to address the issue of tracking digital evidence that is uploaded to the system. It was raised by BAML (Bank of America Merrill Lynch)’s security department. Thus, the aim is to develop a platform to provide the forensic analyst to store and track evidence files when multiple forensic analysts working on the same case. The design methodology is to use Django Web Framework, written in Python programming language to develop the structure and functionalities of the application. As for the layout of the interface, JavaScript and Bootstrap are used to beautify the design. As for the outcome of the application, users can leverage the system to store and organize evidence files, at the same time allowing them to track efficiently by searching or sorting. The interface of the platform is clean and lightweight which allow users to use it intuitively with ease. Future work can be implemented to enhance the application, making it more robust by improving its security elements and adding more features to enable more options for the users to work with. Bachelor of Engineering (Computer Science) 2019-04-25T06:46:16Z 2019-04-25T06:46:16Z 2019 Final Year Project (FYP) http://hdl.handle.net/10356/76947 en Nanyang Technological University 57 p. application/pdf
institution Nanyang Technological University
building NTU Library
continent Asia
country Singapore
Singapore
content_provider NTU Library
collection DR-NTU
language English
topic DRNTU::Engineering::Computer science and engineering
spellingShingle DRNTU::Engineering::Computer science and engineering
Tan, Wee Seng
A cyber forensics evidence tracking platform
description The purpose of this project is to address the issue of tracking digital evidence that is uploaded to the system. It was raised by BAML (Bank of America Merrill Lynch)’s security department. Thus, the aim is to develop a platform to provide the forensic analyst to store and track evidence files when multiple forensic analysts working on the same case. The design methodology is to use Django Web Framework, written in Python programming language to develop the structure and functionalities of the application. As for the layout of the interface, JavaScript and Bootstrap are used to beautify the design. As for the outcome of the application, users can leverage the system to store and organize evidence files, at the same time allowing them to track efficiently by searching or sorting. The interface of the platform is clean and lightweight which allow users to use it intuitively with ease. Future work can be implemented to enhance the application, making it more robust by improving its security elements and adding more features to enable more options for the users to work with.
author2 Lam Kwok Yan
author_facet Lam Kwok Yan
Tan, Wee Seng
format Final Year Project
author Tan, Wee Seng
author_sort Tan, Wee Seng
title A cyber forensics evidence tracking platform
title_short A cyber forensics evidence tracking platform
title_full A cyber forensics evidence tracking platform
title_fullStr A cyber forensics evidence tracking platform
title_full_unstemmed A cyber forensics evidence tracking platform
title_sort cyber forensics evidence tracking platform
publishDate 2019
url http://hdl.handle.net/10356/76947
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